COBEM 2019 (ABCM International Congress of Mechanical Engineering) is an academic conference held in Uberlandia, Brazil on 2019-10-20. The paper submission deadline is 2019-04-01 (extended).
The following thematic areas have been defined within the scope of COBEM 2019. While submitting their abstracts, authors must ascribe the area which best matches the content of their papers.
Aerospace Engineering
Aerodynamics
Aerospace Structures
Control Systems and Aeroelasticity
Flight Dynamics
Propulsion
Bioengineering
Assistive Technologies
Biofluids Dynamics e Bioheat Transfer
Biomaterials and Biotribology
Biomechanics
Biorobotics and Artificial Intelligence
Implants, Orthoses and Prostheses
Combustion and Environmental Engineering
Detonations, Explosions, and Supersonic Combustion
Diagnostics
Fire Research
Gas Turbine and Rocket Engine Combustion
Gas-Phase Reaction Kinetics
Internal Combustion Engines
Laminar Flames
Other Concepts
Solid Fuel Combustion
Soot, Nanomaterials, and Large Molecules
Spray, Droplet, and Supercritical Combustion
Stationary Combustion Systems and Control of Greenhouse Gas Emissions
Turbulent Flames
Dynamics, Control, Vibrations and Acoustics
Acoustics and Vibroacoustics
Control of Mechanical and Robotic Systems
Multibody Systems
Nonlinear Dynamics
Robotics and Mechatronic Systems
Rotordynamics
Smart Structures
Structural Dynamics
Vehicle Dynamics
Education Symposium (ENACEM)
Energy and Thermal Sciences
Applied Heat and Mass Transfer
Computational Intelligence Applied to Thermal Systems
Heat and Mass Transfer Fundamentals
Numerical Heat Transfer
Renewable Energy
Thermodynamics and Thermal Systems
Thermo-Economic Analysis and Energy Policy
Fluid Mechanics and Rheology
Computational Fluid Dynamics
Flow Induced Vibration
Industrial Applications and Turbomachinery
Instrumentation and Experiments
Multiphase Flow
Rheology and Non-Newtonian Fluid Mechanics
Theoretical and Analytical Modeling
Fracture, Fatigue, and Structural Integrity
Heating, Ventilation, Air-Conditioning and Refrigeration
Materials and Manufacturing Engineering
Additive Manufacture
Materials Characterization and Processing
Metallurgical Processes
Processes with Material Removal
Project and Management
Tribology
Union and Assembly Processes
Mechatronics and Automation
Artificial Intelligent Applications
Computer Vision
Control Systems
Fluid Power Systems
Industrial Informatics, Discrete and Hybrid Systems
Metrology
Robotics, Sensors & Actuators
Nano and Microfluidic and Micro-Systems
Heat and Mass Transfer in Micro and Nano scales
Micro and Nanofabrication
Micro and Nanofluidics
Nonlinear Phenomena
Analytical and Numerical Methods in Nonlinear Phenomena
Applications of Nonlinear Systems in Engineering
Bifurcation Analysis in Nonlinear Systems
Chaos and its Applications
Complex Systems in Engineering
Dynamic of Collective Behavior
Experimental Methods in Nonlinear Phenomena
Identification of Nonlinear Systems
Inverse Problems in Nonlinear Phenomena
Multi-scale Phenomena in Engineering
Nonlinear Control
Nonlinear Mechanics
Stochastic Methods for Nonlinear Systems
Synchronization and Complex Networks
Nuclear Engineering
Offshore and Petroleum Engineering
Piping and Pressure Vessels
Product Engineering
Smart Materials and Structures
Active and Passive Structures
Bioinspired Systems
Constitutive Modeling
Energy Harvesting
Magnetic Materials
Nonlinear Dynamics of Smart Systems
Piezoelectric Materials
Sensors and Actuators
Shape Memory Alloys
Smart Systems
Structural Health Monitoring
Solid Mechanics
Composite Materials and Structures
Constitutive Models
Elasticity, Plasticity, Damage and Fracture Mechanics: Models, Experiments and Applications
Failure Criteria
Fatigue and Failure Analyses
Impact Engineering
Nonlinear Analyses: Buckling, Post-Buckling and Contact Analyses
Numerical Methods: FEM, XFEM, GFEM, BEM and other methods
Optimization of Materials, Fluids and Structures
Structural Reliability Methods and Reliability-Based Design Optimization
Structural Statics
Viscoelasticity and Viscoplasticity: Models, Experiments and Applications
Wave Propagation
Uncertainty Quantification And Stochastic Modeling
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